Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine Learning-Based Imputation Techniques Analysis and Study Subject The topic of the resource imputation technique; KNN; Missing Data; Random Forest; SVM Description An account of the resource Missing values are a significant problem in data analysis and machine learning applications. This study looks at the efficacy of machine learning (ML) - based imputation strategies for dealing with missing data. K-nearest Neighbours (KNN), Random Forest, Support Vector Machines (SVM), and Median/Mean Imputation were among the techniques explored. To address the issue of missing data, the study employs k-nearest neighbors, Random Forests, and SVM algorithms. The dataset's imbalance is considered, and the mean F1 score is employed as an evaluation criterion, using cross-validation to ensure consistent results. The study aims to identify the most effective imputation strategy within ML models, offering crucial insights about their adaptability across various scenarios. The study aims to determine the best plan for data preprocessing in machine learning by comparing approaches. Finally, the findings help to improve our knowledge and application of imputation techniques in real-world data analysis and machine learning. 2024 IEEE. Creator An entity primarily responsible for making the resource Pindiyan A.V.; Pramila R.M. Source A related resource from which the described resource is derived 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEECT61758.2024.10739330" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10739330</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211147858&amp;doi=10.1109%2FICEECT61758.2024.10739330&amp;partnerID=40&amp;md5=99c1155a500a68eb3ad90091c3eee417" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211147858&amp;doi=10.1109%2fICEECT61758.2024.10739330&amp;partnerID=40&amp;md5=99c1155a500a68eb3ad90091c3eee417</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037809-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pindiyan A.V., CHRIST University, Department of Data Science, Bangalore, India; Pramila R.M., CHRIST University, Department of Data Science, Bangalore, India